Literature DB >> 16529556

Novel strategies for the design of new potent and selective human A3 receptor antagonists: an update.

S Moro1, F Deflorian, M Bacilieri, G Spalluto.   

Abstract

A computer-aided approach has been developed in order to understand the molecular pharmacology of human A3R, and specifically, to lead to the discovery and structural refinement of new, potent and selective human A3R antagonists. This review focuses on our combined target-based and ligand-based drug design strategy, recently applied to provide more accurate information about the recognition mode on human A3R of some pyrazolotriazolopyrimidine and triazoloquinoxalinone analogs. The 3D rhodopsin-based homology model of human A3R has represented the starting point of our approach. A high throughput molecular docking method on the considered antagonists has allowed us to generate a receptor-based pharmacophore model. A novel "Y-shaped" pharmacophore binding motif has been proposed for both pyrazolotriazolopyrimidine and triazoloquinoxalinone derivatives. Moreover, related receptor-based 3D-QSAR analysis has been carried out to provide a suitable tool for prediction of the antagonists binding affinity on human A3R.

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Year:  2006        PMID: 16529556     DOI: 10.2174/092986706776055670

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  7 in total

1.  Functionalized congeners of A3 adenosine receptor-selective nucleosides containing a bicyclo[3.1.0]hexane ring system.

Authors:  Dilip K Tosh; Moshe Chinn; Andrei A Ivanov; Athena M Klutz; Zhan-Guo Gao; Kenneth A Jacobson
Journal:  J Med Chem       Date:  2009-12-10       Impact factor: 7.446

2.  Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands.

Authors:  Stefano Costanzi; Irina G Tikhonova; T Kendall Harden; Kenneth A Jacobson
Journal:  J Comput Aided Mol Des       Date:  2008-05-16       Impact factor: 3.686

3.  Virtual ligand screening against comparative protein structure models.

Authors:  Hao Fan; John J Irwin; Andrej Sali
Journal:  Methods Mol Biol       Date:  2012

4.  Molecular docking screens using comparative models of proteins.

Authors:  Hao Fan; John J Irwin; Benjamin M Webb; Gerhard Klebe; Brian K Shoichet; Andrej Sali
Journal:  J Chem Inf Model       Date:  2009-11       Impact factor: 4.956

5.  Selective A(3) adenosine receptor antagonists derived from nucleosides containing a bicyclo[3.1.0]hexane ring system.

Authors:  Artem Melman; Ben Wang; Bhalchandra V Joshi; Zhan-Guo Gao; Sonia de Castro; Cara L Heller; Soo-Kyung Kim; Lak Shin Jeong; Kenneth A Jacobson
Journal:  Bioorg Med Chem       Date:  2008-08-07       Impact factor: 3.641

6.  Pyrazolo-triazolo-pyrimidines as adenosine receptor antagonists: A complete structure-activity profile.

Authors:  Barbara Cacciari; Chiara Bolcato; Giampiero Spalluto; Karl-Norbet Klotz; Magdalena Bacilieri; Francesca Deflorian; Stefano Moro
Journal:  Purinergic Signal       Date:  2006-11-14       Impact factor: 3.765

7.  Pyrazolo-triazolo-pyrimidines as adenosine receptor antagonists: Effect of the N-5 bond type on the affinity and selectivity at the four adenosine receptor subtypes.

Authors:  Chiara Bolcato; Claudia Cusan; Giorgia Pastorin; Giampiero Spalluto; Barbara Cacciari; Karl Norbert Klotz; Erika Morizzo; Stefano Moro
Journal:  Purinergic Signal       Date:  2007-07-25       Impact factor: 3.765

  7 in total

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